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Random Subspace Method (RSM) for Linear Regression

0packages depend
1.6Kdownloads / year
–test coverage
7/13flavors OK

Overview

About

Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.

Install

Health

CRAN checks
4ERROR2NOTE7OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-release-macos-arm64, r-release-macos-x86_64
Package required but not available: ‘Rmpi’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Pawel Teisseyre <teisseyrep@ipipan.waw.pl>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Pawel",
                      family = "Teisseyre",
                      role = c("aut", "cre"),
                      email = "teisseyrep@ipipan.waw.pl"),
               person(given = c("Robert", "A."),
                      family = "Klopotek",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • ERROR7 OK, 2 NOTE, 4 ERRORNow
  • ERROR7 OK, 2 NOTE, 5 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.5
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
8
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
75%
Help pages citing references
13%

Downloads

1.6K
CRAN downloads in the past year
Rank #24,998 · ~4/day · ~134/mo
Daily download trend is not available in this view yet.
18430 days
41090 days
1.6K1 year
Compare downloads with other packages →
Also on69 r2u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing regRSM adds 4 packages (1 with compiled code, 646 KB of source tarballs). Heaviest: iterators 293 KB, doParallel 160 KB, Rmpi 105 KB.

Depends (1)
R >= 3.0.0
Imports (4)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (2)

Maintainer since 0.2 (2014)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.5Latest
    record
    2015-09-11 · current release · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.4
    record
    2014-04-18 · diff ↗ ·
    added 1 export
    regRSM.formula
  • R
    R 3.1.0 released · 2014-04-10
  • 0.3
    record
    2014-02-19 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.2
    record
    2014-02-07
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-02-07
Total releases
4 / 12 yrs
License
LGPL-2 | LGPL-3 | GPL-2 | GPL-3 OSI · relicensed from LGPL (>= 2) in 0.3
Minimum R
≥ 3.0.0
Download size
13 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("regRSM")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for regRSM version 0.5 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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